Top AWS Jobs in Sydney

Build and maintain infrastructure, CI/CD pipelines, and monitoring for a scalable event-driven microservice platform. Optimize database performance (MongoDB/Postgres), manage Docker/Kubernetes environments, and support emerging MLOps and agentic AI infrastructure.

The Senior Software Engineer will develop and maintain healthcare platforms, mentor engineers, and improve coding standards and workflows.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Own pre-sales strategy for major accounts: lead executive discovery and strategy workshops; develop technology strategies, enterprise architectures, and transformation roadmaps; support RFPs, proposals and commercial discussions; build C‑suite relationships; validate scope and translate strategy into delivery commitments; apply qualification discipline to opportunities; contribute to thought leadership and presales methodology.

Design, develop, and maintain cloud-based analytics applications for life sciences supply chain operations. Build scalable backend services, provide architectural guidance, write high-performance code, and collaborate with data scientists, architects, product teams, and QA. Contribute to product strategy, estimate and track complex initiatives, support Agile development, and participate throughout the software development lifecycle.

Lead design and delivery of a high-volume, multi-currency transactional platform. Own services end-to-end, translate finance requirements into technical solutions, mentor engineers, and ensure production reliability, scalability, observability, and integrations with external financial systems.

Build and own Overflow's data infrastructure: design ETL/ELT and CDC pipelines, data warehouses, OLAP schemas, and a unified data layer. Enable self-service analytics and dashboards, implement Databricks Unity Catalog for governance, ensure data quality and monitoring, and partner with Head of AI and cross-functional teams to prepare semi-structured data for MLOps and advanced AI workflows.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

The Customer Site Reliability Engineer (CSRE) ensures service reliability and performance, manages complex systems, leads customer escalations, and collaborates with teams to improve service stability and delivery through automation and incident response.

Build AI-powered client products from discovery through production using full-stack engineering, AI coding tools, prompt and context engineering, and critical validation of generated outputs. Develop frontend and backend features, support testing, QA, DevOps, and CI/CD, while collaborating directly with client engineering, product, and domain teams. Translate ambiguous business needs into production-ready systems, communicate clearly with stakeholders, and contribute to consulting engagements in a hybrid Sydney-based environment.

Lead pre-sales technical architecture for banking clients: run workshops, design end-to-end Temenos solutions (SaaS/private/public/on‑prem), produce RFP/RFI technical responses, define integration/migration and sizing, deliver demos and thought leadership, and collaborate with sales, product, delivery, and partners.

Provide technical pre-sales and consultative architecture support for Australian and NZ enterprise clients. Create and maintain client architecture plans, run scoping workshops, design high-quality pre-sales deliverables, build OEM and partner relationships, and act as a trusted advisor across infrastructure, cloud, networking, security, applications, and transformation initiatives.

Bridge research and production by hardening experimental models, optimizing PyTorch training and inference across GPUs, building shared libraries and inference services, improving distributed training and storage workflows, establishing CI/CD and rollout frameworks, and adding observability and reliability to ML systems so research can ship safely and at scale.

Lead design and operation of Neara's ML platform: roadmap for training pipelines, distributed compute, model serving, experiment management, and monitoring. Build tooling to accelerate research-to-production, optimise performance (including custom CUDA/sparse tensors), and enable scalable, secure deployments across cloud and on‑prem environments while mentoring ML engineers.

As a Staff Software Engineer at Ripple, you will lead infrastructure development for financial applications, ensuring scalability, performance, and security. Responsibilities include overseeing technical teams, designing scalable systems, and implementing best engineering practices.

The Platform Engineer will focus on building scalable platforms, driving cloud-native architecture, enhancing developer tools, and ensuring reliability of services through collaboration and effective communication.

Lead enterprise vulnerability management and internal penetration testing across infrastructure, web, API and cloud environments. Architect and operate scanning infrastructure and automation, develop security tooling and integrations, prioritize remediation with risk context, and evaluate AI-driven approaches to enhance detection and assessment. Contribute to process and policy improvements and participate in global Cyber Defense Centre activities.

Lead global incident response and vulnerability analysis; deploy and configure SIEM and SOAR; perform forensic triage and threat hunting; develop automated playbooks and ML-based detection use cases; integrate cloud security (Azure/AWS/GCP); evaluate log correlations and advise on information security, risk, and privacy across the organisation.

Own technical execution of customer integrations across APAC: design, build, deploy, test, and maintain Cresta integrations with contact center voice, chat, and digital platforms while partnering with CSMs, Solution Architects, and Engineering to resolve issues and scale implementations.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.

Design and deliver scalable analytics solutions and models, create specifications for engineering, work with complex cloud-hosted datasets, apply advanced data science and ML methods, support product roadmaps, mentor and coordinate across global teams.

Design, build and operate scalable Lakehouse data platform and batch/real-time pipelines. Develop data assets, streaming solutions (Kafka/Flink), ETL/ELT workflows (Airflow, DBT), and cloud-native architectures on AWS, Snowflake and Databricks. Optimize SQL and Spark workloads, manage schema and performance for Iceberg tables, enforce data quality and governance, and partner with data science, analytics and product teams to deliver cost-efficient, reliable data solutions.

Design, train, and deploy machine learning models to improve customer experience and prevent fraud. Work with large datasets, optimize model performance, ensure scalable real-time production deployments, and collaborate cross-functionally with fraud, product, and engineering teams while advancing MLOps practices.